dimred/lsi

Description

Runs Latent Semantic Indexing. Computes cell embeddings, feature loadings and singular values. Uses the implementation of scipy.

Type

python_script

License

MIT

Contributors

Run this component

Run the following command to execute this component with Nextflow:

cat > params.yaml <<'EOM'  
modality: [ "atac" ]  
num_components: [ 50 ]  
scale_embeddings: [ true ]  
output: "$id.$key.output.h5mu"  
obsm_output: [ "X_lsi" ]  
varm_output: [ "lsi" ]  
uns_output: [ "lsi" ]  
id: "run"  
publish_dir: "output/"  
EOM

nextflow run https://packages.viash-hub.com/vsh/openpipeline.git \  
  -revision v3.0.2 \  
  -main-script target/nextflow/dimred/lsi/main.nf \  
  -params-file params.yaml  

Inputs

Name
Type & Properties
--input
-i
file
required
--modality
string
--layer
string
--var_input
string

LSI options

Name
Type & Properties
--num_components
integer
--scale_embeddings
boolean

Outputs

Name
Type & Properties
--output
-o
file
required
output
--obsm_output
string
--varm_output
string
--uns_output
string
--overwrite
boolean_true
--output_compression
string

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